We report a case in which l-Leucovorin/5-fluorouracil (l-LV/5-FU) therapy was remarkably effective for advanced rectal cancer as neoadjuvant chemotherapy (NAC). A 54-year-old man complained of bloody stool and constipation,and was diagnosed as having stage IIIB advanced rectal cancer with N2 lymphnode metastases on July 31, 2003. Two cycles of NAC by l-LV/5-FU therapy were performed. On abdominal computed tomography (micro CT), the primary lesion in the rectum decreased 82% and the metastatic lymphnodes had disappeared. As we established a diagnosis of the downstaging for stage II, a lower anterior resection with D3 lymphnode dissection was performed on December 5, 2003. The pathological examination demonstrated II, mod, 1.8 x 2.2 cm, a1, ly1,v0, ow(-), aw(-), n0, stage II. We could allow curability-A resection. The pathological effect of chemotherapy was grade 2 in which cancer cells became necrotic, suggesting apoptosis. The postoperative course was good. Postoperatively, 3 cycles of l-LV/5-FU therapy were performed. Although the patient had to be followed with internal use of 5-FU 200 mg/day as an outpatient from June 2, 2004, to date, there has been no sign of recurrence during the 12-month follow-up after the operation. Moreover, no adverse by chemotherapy was seen during the treatment. Thus, NAC by this therapy may be useful for patients with advanced rectal cancer.
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http://dx.doi.org/10.2217/14750708.3.1.119 | DOI Listing |
Langenbecks Arch Surg
December 2024
Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Science, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan.
Background: Lateral pelvic lymph node dissection (LPND) is a challenging surgical technique with complex anatomy and narrow pelvic manipulation. The outcomes of robotic and laparoscopic surgery for LPND are still unclear.
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Curr Oncol
December 2024
Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Aim: The tumor staging of colorectal cancer (CRC) plays a significant role in both treatment and prognosis, impacting surgical planning and adjuvant therapy decisions. Currently, the staging of CRC is based on the TNM system developed by the American Joint Committee on Cancer. Prior studies have suggested that survival rates and recurrent rates of T4a tumors appear to be worse than that of T4b tumors, although there is currently no consensus.
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Background: Accurate prediction of pathological complete response (pCR) and disease-free survival (DFS) in locally advanced rectal cancer (LARC) patients undergoing neoadjuvant chemoradiotherapy (NCRT) is essential for formulating effective treatment plans. This study aimed to construct and validate the machine learning (ML) models to predict pCR and DFS using pathomics.
Method: A retrospective analysis was conducted on 294 patients who received NCRT from two independent institutions.
JMIR Public Health Surveill
December 2024
Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore, SG.
Background: Colorectal cancer (CRC) incidence and mortality in those aged 50 years and above have decreased over the last 2 decades. However, there is a rising incidence in CRC among individuals under 50 years of age, termed early-onset colorectal cancer (EOCRC). EOCRC patients are more advanced stage at diagnosis and may suffer more psychosocial, emotional and financial distress.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Department of Colorectal Surgery, Hubei Provincial Hospital of Traditional Chinese Medicine Affiliated to Hubei University of Chinese Medicine, 430071 Wuhan, Hubei, China.
Aim: Anorectal diseases, often requiring surgical intervention and careful post-operative wound management, pose substantial challenges in healthcare. This study presents a novel application of artificial intelligence, specifically machine learning, aimed at improving the classification and analysis of post-surgical wound images. By doing so, it seeks to enhance patient outcomes through personalized and optimized wound care strategies.
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